On-Demand Webinar

How Will Mobile Devices Revolutionize Business Intelligence?

Mobile devices are everywhere. But the adoption and maturity of mobile Business Intelligence (BI) has traditionally lagged behind other mobile enterprise applications for multiple reasons; the lack of secure solutions as well as inadequate smartphone screen and keyboard sizes. However, larger mobile devices such as tablets and innovative approaches to online/offline BI technical architecture have begun to boost mobile BI adoption and maturity.

As the technology advances Boris Evelson of Forrester Research, Inc. recommends that BI professionals start evaluating and prototyping mobile BI applications to make sure knowledge workers access relevant information and make more informed, faster decisions wherever they are.

Attend this webinar to learn:

  • What will drive mobile BI to higher adoption rates?
  • How will next-generation mobile BI revolutionize the overall use of BI?
  • What are some common mobile BI implementation challenges?
  • How can mobile BI help ensure that business processes and information are ubiquitous?

About the speaker


Boris Evelson

Vice President, Principal Analyst - Forrester Research, Inc.

Boris serves Business Process professionals. He is a leading expert in business intelligence (BI) — a set of processes, methodologies, and technologies used to transform raw data into meaningful, useful, and action-oriented enterprise information. Boris delivers strategic guidance, helping enterprises define BI strategies, governance, and architectures and identify vendors and technologies that help them put information to use in business processes and end user experiences.

Boris' current research focuses on the practical and actionable best practices for building BI infrastructure and applications, such as BI business cases, architectural options, organizational structures, and vendor selection. Boris continues to explore emerging trends in next-generation BI, such as agile BI architecture and development approaches, in-memory analytics, advanced data visualization, convergence of structured data and unstructured content analytics, process-driven and operational BI, and many others.

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